Joint Source-Channel Coding Via Compressive Sensing
Location:258 Fitzpatrick Hall of Engineering
Compressive sensing (CS) is an approach for the acquisition and recovery of sparse signals that enable low sampling rates compared to the classical Nyquist rate. Compressive sensing has been applied in areas such as Image Audio Processing as well as Error Correction Codes. In this talk we will present the basic ideas of the application of CS in channel error correction coding and in source coding. We will also present some initial ideas about the application of CS in Joint Source-Channel Coding.
Edmar Candeia Gurjão
Federal University of Campina Grande
Edmar Candeia Gurjão visits the college from the Northeast coast of Brazil. He received his engineering degree from Federal University of Paraíba, Brazil, MS degree in Electrical Engineering from the Federal University of Paraíba in 1999, and his PhD degree in Electrical Engineering from the Federal University of Campina Grande (UFCG) in 2003, respectively. Currently, he is a professor in the Electrical Engineering Department at UFCG. Dr. Gurjão will be working in cooperation with Professor Nick Laneman in the Wireless Institute for one year. His research interests are in the areas of signal processing as applied to telecommunications, specially software defined radio and compressed sampling. His projects have also included applying his knowledge to computer networks and programming. Initially he will research the application of compressive sensing in joint source-channel encoding and will attempt to implement these developments in a software defined radio.